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1.
BMC Psychol ; 11(1): 32, 2023 Jan 31.
Artículo en Inglés | MEDLINE | ID: mdl-36721206

RESUMEN

BACKGROUND: Exploring sociodemographic and disease characteristics that contribute to patient-reported outcomes can inform targeting of strategies to support recovery and adaptation to stroke. This study aimed to examine among a sample of stroke survivors at three months post-hospital discharge: (1) self-reported physical and mental health quality of life scores; (2) self-reported depressive and anxiety symptoms; and (3) sociodemographic and clinical predictors of these outcomes. METHODS: This cross-sectional survey study recruited stroke survivors from eight hospitals in one Australian state. Adult survivors recently discharged from hospital stroke wards (within 3 months) were mailed a study information package and invited to complete a pen-and paper survey. Survey items assessed: quality of life (SF12v2), depression (PHQ-9), anxiety (GAD-7) and sociodemographic and clinical characteristics. Predictors were examined using multiple linear regression analysis. RESULTS: Of the 1161 eligible patients who were posted a recruitment pack, 401 (35%) returned a completed survey. Participants reported a mean SF-12v2 Physical Composite Score (PCS) quality of life score of 44.09 (SD = 9.57); and a mean SF-12v2 Mental Composite Score (MCS) quality of life score of 46.84 (SD = 10.0). Approximately one third of participants (34%; n = 132) were classified as depressed (PHQ-9 ≥ 10); and 27% (n = 104) were classified as anxious (GAD-7 ≥ 8). Lower PCS was associated with being female, not employed and having a comorbid diagnosis of diabetes and atrial fibrillation. Lower MCS was associated with a history of transient ischemic attack (TIA). Males and those with higher levels of education, had greater odds of having lower depression severity; those with a history of TIA or diabetes had lower odds of having lower depression severity. Males had greater odds of having lower anxiety severity; those with a history of TIA had lower odds of having lower anxiety severity. CONCLUSION: Sub-groups of stroke survivors may be at-risk of poorer quality of life and psychological morbidity in the early post-discharge phase. These findings support the role of early identification and prioritisation of at-risk survivors at discharge, as they may require modifications to standard hospital discharge processes tailored to their level of risk.


Asunto(s)
Ataque Isquémico Transitorio , Accidente Cerebrovascular , Adulto , Masculino , Humanos , Femenino , Estudios Transversales , Trastornos del Humor/epidemiología , Alta del Paciente , Calidad de Vida , Cuidados Posteriores , Australia/epidemiología , Accidente Cerebrovascular/epidemiología
2.
JMIR Res Protoc ; 10(2): e22902, 2021 02 04.
Artículo en Inglés | MEDLINE | ID: mdl-33538703

RESUMEN

BACKGROUND: Urinary incontinence (UI) and lower urinary tract symptoms (LUTS) are commonly experienced by adult patients in hospitals (inpatients). Although peak bodies recommend that health services have systems for optimal UI and LUTS care, they are often not delivered. For example, results from the 2017 Australian National Stroke Audit Acute Services indicated that of the one-third of acute stroke inpatients with UI, only 18% received a management plan. In the 2018 Australian National Stroke Audit Rehabilitation Services, half of the 41% of patients with UI received a management plan. There is little reporting of effective inpatient interventions to systematically deliver optimal UI/LUTS care. OBJECTIVE: This study aims to determine whether our UI/LUTS practice-change package is feasible and effective for delivering optimal UI/LUTS care in an inpatient setting. The package includes our intervention that has been synthesized from the best-available evidence on UI/LUTS care and a theoretically informed implementation strategy targeting identified barriers and enablers. The package is targeted at clinicians working in the participating wards. METHODS: This is a pragmatic, real-world, before- and after-implementation study conducted at 12 hospitals (15 wards: 7/15, 47% metropolitan, 8/15, 53% regional) in Australia. Data will be collected at 3 time points: before implementation (T0), immediately after the 6-month implementation period (T1), and again after a 6-month maintenance period (T2). We will undertake medical record audits to determine any change in the proportion of inpatients receiving optimal UI/LUTS care, including assessment, diagnosis, and management plans. Potential economic implications (cost and consequences) for hospitals implementing our intervention will be determined. RESULTS: This study was approved by the Hunter New England Human Research Ethics Committee (HNEHREC Reference No. 18/10/17/4.02). Preimplementation data collection (T0) was completed in March 2020. As of November 2020, 87% (13/15) wards have completed implementation and are undertaking postimplementation data collection (T1). CONCLUSIONS: Our practice-change package is designed to reduce the current inpatient UI/LUTS evidence-based practice gap, such as those identified through national stroke audits. This study has been designed to provide clinicians, managers, and policy makers with the evidence needed to assess the potential benefit of further wide-scale implementation of our practice-change package. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/22902.

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